Top Python Jobs in London

Serve as a technical sales resource for UK commercial accounts, building customer relationships and guiding opportunities through technical and business validation. Lead presentations, demonstrations, workshops, technical Q&A sessions, proof-of-concepts, and solution integrations. Partner with sales managers to identify customer needs, demonstrate Splunk value, support buying decisions, and maintain opportunity updates in Salesforce. Required knowledge includes operating systems, networking, cloud infrastructure, and IT architecture.

Build, test and ship growth-focused user journeys and subscription funnels across web and app. Design and run experiments, implement instrumentation and tracking, own features end-to-end, collaborate with product/design/data, and improve CI/CD, testing and release workflows to increase conversion and engagement.

Leads the algorithm engineering team and partners with leadership to shape Ki’s underwriting algorithm strategy, architecture, roadmap, governance, and engineering culture. The role manages and develops high-performing engineers, guides machine learning product development, advises executives on technology strategy, supports regulatory compliance, and improves the organization’s digital underwriting capabilities.

Provides advanced Level 2 IT support, white-glove service for executives and VIPs, incident command, ticket and SLA oversight, documentation, mentoring, and continuous improvement. Supports global 24/5 operations across hardware, software, networks, endpoints, and cloud environments. Requires deep macOS and Jamf expertise, cross-platform device management, scripting, ITSM, workflow automation, security awareness, and strong stakeholder communication. The role is onsite five days weekly at the Staines headquarters.

Leads VIP and executive IT support operations, delivering advanced Level 2 troubleshooting across hardware, software, networks, and endpoint platforms. Owns P1/P2 incident response, ticket queues, SLA compliance, shift coordination, documentation, and continuous service improvement. Mentors junior engineers, collaborates across IT functions, supports global 24/5 operations, and manages macOS and cross-platform environments using Jamf Pro, Intune, automation, and ITSM tools.

Build and launch scalable data pipelines, products, APIs, and tools for proprietary market research. Develop big data processing systems, reusable software components, AI-ready data assets, cloud infrastructure, and governance controls. Partner with investment professionals, researchers, data scientists, and Compliance to deliver reliable, auditable, compliant solutions while optimizing system performance, cost, and reliability.

Lead data integration activities for Kinaxis solution deployments, including data mapping, transformation, loading, testing, validation, system configuration, and deployment. Design integration solutions, define requirements, support customer workshops and training, and collaborate with architects, support, and cloud teams. Advise customers on integrating Kinaxis Maestro with enterprise systems using ETL tools, APIs, databases, and ERP connections. The role is remote in the UK and may require up to 70% travel.

Own analytics across the participant lifecycle to support acquisition, onboarding, activation, engagement, quality, retention and reactivation. Build metrics, dashboards, and experimentation frameworks with SQL and Python; partner with Product, Operations, Growth, and Data Science to run experiments and translate marketplace data into actionable decisions that improve participant health and supply sustainability.

Designs, deploys, migrates, troubleshoots, and supports enterprise infrastructure across virtualization, compute, storage, operating systems, and Kubernetes. The role produces technical designs and migration plans, leads infrastructure projects, works directly with customers on discovery and solution design, collaborates with sales and vendors, and guides other engineers. It also offers opportunities to develop expertise in NVIDIA GPU infrastructure, AI compute, automation, and AI Factory environments.

Build and maintain financial, revenue, ROI, and pricing models; analyze large datasets; conduct scenario and pricing-impact analysis; value content and products; support commercial initiatives; maintain global price lists; and provide rigorous recommendations to strategy, product, and commercial teams. The role also establishes modeling standards and mentors junior analysts.

Build modular, config-driven AI video generation pipelines for mobile gaming advertisements. Integrate fal.ai models and APIs, orchestrate reliable asynchronous jobs, manage retries and resumable execution, track costs, and use FFmpeg for video assembly, subtitles, overlays, audio mixing, and format conversion. Document workflows so marketing teams can operate them without coding, while collaborating with creative specialists and demonstrating a working pipeline.

Build and maintain financial, revenue, ROI, and scenario models supporting pricing strategy and commercial decisions. Analyze large revenue and operational datasets, evaluate product and content value, assess profitability, and provide business-case support for launches and strategic investments. Own global pricing structures, partner with revenue strategy and commercial teams, apply AI and advanced analytics, and mentor junior analysts while ensuring modeling rigor.

Lead pricing ML for Rosso: define technical direction, build production-grade price-optimisation and probabilistic imbalance models, bridge modelling and MLOps, and communicate model decisions across teams.

Design, build, operate, and maintain scalable alerting backend systems. Drive features end-to-end, contribute to open-source, participate in on-call rotations, mentor teammates, and collaborate remotely to improve reliability, performance, and alert evaluation at scale.

Develop and maintain scalable cloud ecosystems using Golang and Python, enhancing backend microservices and collaborating within a fast-paced team.

Lead design and delivery of production-grade AI/ML solutions for Market Operations. Manage a team of data scientists and partner with engineering and business stakeholders to build, deploy, monitor, and govern models, establish best practices, and drive measurable operational impact.

Lead and mentor data science teams to design, develop, and deploy ML and AI solutions (including GenAI/LLMs). Align technical outcomes with business goals, drive MLOps and model governance, and deliver scalable production systems.

Own cloud access, identity management, and infrastructure-as-code for shared client infrastructure. Manage AWS IAM, Identity Center, Organizations, Terraform, Kubernetes, CI/CD, observability, governance, and careful change management. Support dependent engineering teams, maintain reliability and testing standards, and use scripting and emerging AI tools where valuable. This is a three-month remote EU-based B2B contract with potential extension.

Designs, implements, and manages workforce IAM solutions across enterprise applications and hybrid directories. Leads identity integrations during mergers, acquisitions, and divestitures; consolidates identity providers; automates onboarding and offboarding; and develops API-driven workflows. Enforces SSO, MFA, PAM, RBAC, least-privilege, and conditional-access controls. Supports compliance audits, access reviews, troubleshooting, technical documentation, and cross-functional collaboration across security, IT, HR, and application teams.

Designs, implements, and manages workforce IAM and IGA solutions using SailPoint. Responsibilities include M&A identity migrations, application and HRMS integrations, automated provisioning, access certifications, RBAC, lifecycle management, directory services, platform upgrades, compliance, troubleshooting, and technical documentation. The role collaborates with security, IT, HR, and application teams while supporting enterprise-scale identity integrations and secure access controls.

Design, build, and maintain pipeline and artist-facing tools across web, desktop, and Unreal surfaces. Develop Python integrations with Maya, Unreal, Nuke, Perforce, and AYON; build AI-assisted features; and own tools through production. Collaborate directly with artists and supervisors, manage work autonomously, and deliver responsive, maintainable, well-tested software.

Operate and monitor production and cloud environments across Azure, AWS, and VMware. Respond to alerts, troubleshoot incidents, support Kubernetes and containerized workloads, automate deployments and infrastructure, and improve observability, reliability, and operational efficiency. Participate in on-call rotations, contribute to root cause analysis and preventative actions, maintain runbooks, and collaborate with SRE, Platform, Development, Support, and Services teams.

Leads enterprise Microsoft 365 transformation initiatives focused on SharePoint Online, Power Platform, Copilot, AI agents, automation, security, compliance, and governance. Architects and implements collaboration solutions, migrates legacy platforms, configures Purview and related controls, and develops AI governance strategies. Provides technical leadership, client engagement, workshops, training, and ongoing support while coordinating project risks and dependencies. Requires availability during Eastern Time business hours and deep Microsoft 365, security, programming, database, and cross-tenant migration expertise.

Develop and improve bioinformatics algorithms for Illumina’s DRAGEN secondary analysis platform, focusing on clinical oncology applications such as somatic variant calling, minimal residual disease, methylation, and tumor biomarker detection. Analyze high-throughput sequencing data, design experiments, optimize oncology assays, collaborate with research and engineering teams, troubleshoot production solutions, and provide technical guidance to stakeholders and partners.

Develop, implement, and deploy statistical and machine learning sports models and pricing engines in Python; engineer sports data assets; build automated tests; collaborate with Trading, Product, Engineering, and QA; validate data flows and integrations; and mentor junior data scientists.